Digital Surgery and Telemedicine · 23 February 2025

Machine learning predicts early recurrence risk in cholangiocarcinoma

A novel machine learning model effectively predicts very early recurrence (VER) of perihilar cholangiocarcinoma (PCCA) post-surgery. In a study of 434 patients, 15% experienced VER, significantly reducing median overall survival to 8.4 months compared to 38.5 months for those without recurrence (p<0.001). The XGBoost model's stratification capabilities enhance surgical decision-making and patient counseling, identifying high-risk individuals who may benefit most from treatment.

Journal Article by Kawashima J, Endo Y (…) Pawlik TM et 11 al. in Hepatobiliary Surg Nutr

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